Takip et
fatma sevinç kurnaz
fatma sevinç kurnaz
yildiz.edu.tr üzerinde doğrulanmış e-posta adresine sahip
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Robust and sparse estimation methods for high-dimensional linear and logistic regression
FS Kurnaz, I Hoffmann, P Filzmoser
Chemometrics and Intelligent Laboratory Systems 172, 211-222, 2018
692018
A new Liu-type estimator
FS Kurnaz, KU Akay
Statistical Papers 56, 495-517, 2015
282015
Forecasting drought using neural network approaches with transformed time series data
O Ozan Evkaya, F Sevinç Kurnaz
Journal of Applied Statistics 48 (13-15), 2591-2606, 2021
142021
Filzmoser P. enetLTS: robust and sparse methods for high dimensional linear and logistic regression
FS Kurnaz, I Hoffmann
R package version 0.1. 0 https://CRANR-projectorg/package= enetLTS, 2018
112018
A robust Liu regression estimator
P Filzmoser, FS Kurnaz
Communications in Statistics-Simulation and Computation 47 (2), 432-443, 2018
62018
Robust and sparse multinomial regression in high dimensions
FS Kurnaz, P Filzmoser
Data Mining and Knowledge Discovery 37 (4), 1609-1629, 2023
22023
Matrix mean squared error comparisons of some biased estimators with two biasing parameters
FS Kurnaz, KU Akay
Communications in Statistics-Theory and Methods 47 (8), 2022-2035, 2018
22018
A Comparative Assessment of Municipal Water Use in Turkey
M Şamil Güneş, D Yıldız, F Sevinç Kurnaz
Journal of Water Resources Planning and Management 148 (2), 05021033, 2022
12022
Performances of some high dimensional regression methods: sparse principal component regression
FS Kurnaz
Communications in Statistics-Simulation and Computation 50 (9), 2529-2543, 2021
12021
enetLTS: Robust and Sparse Methods for High Dimensional Linear, Binary, and Multinomial Regression
FS Kurnaz, P Filzmoser
Journal of Open Source Software 8 (82), 4773, 2023
2023
Performances of some high dimensional regression methods
FS Kurnaz
Communications in Statistics-Simulation and Computation 50 (6), 1820-1836, 2021
2021
Temel Bileşenlere Dayalı Bazı Regresyon Yöntemleri
FS KURNAZ
Gümüşhane Üniversitesi Fen Bilimleri Dergisi 10 (3), 581-591, 2020
2020
Some Regression Methods Based on Principal Components.
FS KURNAZ
Gümüshane Üniversitesi Fen Bilimleri Enstitüsü Dergisi 10 (3), 2020
2020
Robust and sparse estimation methods for high dimensional linear and logistic regression
P Filzmoser, FS Kurnaz, I Hoffmann, P Filzmoser
2017
Robust and sparse methods for high-dimensional linear and logistic regression
FS Kurnaz, I Hoffmann, P Filzmoser
2017
Robustified Elastic Net Estimator for Multinomial Regression
FS Kurnaz, P Filzmoser
Book of Abstracts, 78, 0
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Makaleler 1–16